An Improved k-Nearest Neighbor Classification Using Genetic Algorithm

@inproceedings{Suguna2010AnIK,
  title={An Improved k-Nearest Neighbor Classification Using Genetic Algorithm},
  author={N. Suguna and Dr. K. Thanushkodi},
  year={2010}
}
k-Nearest Neighbor (KNN) is one of the most popular algorithms for pattern recognition. Many researchers have found that the KNN algorithm accomplishes very good performance in their experiments on different data sets. The traditional KNN text classification algorithm has three limitations: (i) calculation complexity due to the usage of all the training samples for classification, (ii) the performance is solely dependent on the training set, and (iii) there is no weight difference between… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 18 references

Thanushkodi, “A Novel Rough Set Reduct Algorithm Based on Bee Colony Optimization

N. Suguna
International Journal of Granular Computing, Rough Sets and Intelligent Systems, • 2010
View 2 Excerpts

Neighborhood classifiers

Expert Syst. Appl. • 2008
View 1 Excerpt

A Fast KNN Algorithm Applied to Web Text Categorization ”

B. Shi, W. Zhang’ou
2007

A Fast KNN Algorithm for Text Categorization

2007 International Conference on Machine Learning and Cybernetics • 2007
View 1 Excerpt

and W

W. Yi, B. Shi
Zhang’ou, “A Fast KNN Algorithm Applied to Web Text Categorization”, Journal of The China Society for Scientific and Technical Information, 26(1), pp. 60-64 • 2007
View 1 Excerpt

Genetic programming for simultaneous feature selection and classifier design

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) • 2006
View 1 Excerpt

Study on KNN Text Categorization Algorithm

Y. Lihua, D. Qi, G. Yanjun
Micro Computer Information, 21, pp. 269-271 • 2006
View 1 Excerpt

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